Hybrid Data Engineer Jobs Hiring Now (2026)

Hybrid data engineer jobs combining office and remote work. Salary data, top skills, and hiring companies. Based on 342 active job listings.

Salary Range (USD/year)

$135k$172k$204k

Based on 79 jobs with disclosed salaries

Top Skills

Python 278 SQL 235 AWS 145 Snowflake 116 dbt 105 Airflow 104 Spark 91 GCP 80 Kafka 75 Databricks 71 BigQuery 66 Terraform 62 Kubernetes 50 Azure 49 Docker 47 Git 45 Java 40 S3 39 PySpark 37 Apache Airflow 36

Hybrid Data Engineer Jobs Hiring Now

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Frequently Asked Questions

What are the most in-demand skills for Hybrid Data Engineer jobs?

The top skills employers look for in Hybrid Data Engineer roles are Python, SQL, AWS, Snowflake, dbt. Based on 342 active job listings, other commonly requested skills include Airflow, Spark, GCP, Kafka, Databricks.

What is the average Hybrid Data Engineer salary?

The median salary for Hybrid Data Engineer roles is $172,143 per year (USD). Salaries typically range from $135,122 (25th percentile) to $204,201 (75th percentile), based on 79 job listings with disclosed compensation.

What experience level do most Hybrid Data Engineer jobs require?

The most common experience level is senior, accounting for 54% of Hybrid Data Engineer listings. Other levels include mid and lead.

How do I stand out when applying for Hybrid Data Engineer jobs?

Tailor your resume to each job description by matching keywords from the listing. Quantify achievements with numbers and metrics. For Hybrid Data Engineer roles, highlight experience with Python, SQL, AWS. Use CareerPair's AI resume tailoring to automatically optimize your resume for each application.